DVS Edition Citation

Lopes, J. M., Figueiredo, J, Fonseca, P, Cerqueira, J. J., Vilas-Boas, J. P. & Santos, C. P. (2022). Deep learning-based energy expenditure estimation in assisted and non-assisted gait using inertial, EMG, and heart rate wearable Sensors. Sensors, 22 (20), 7913. Zugriff am 18.11.2022 unter https://doi.org/10.3390/s22207913

APA (7th ed.) Citation

Lopes, J. M., Figueiredo, J., Fonseca, P., Cerqueira, J. J., Vilas-Boas, J. P., & Santos, C. P. (2022). Deep learning-based energy expenditure estimation in assisted and non-assisted gait using inertial, EMG, and heart rate wearable Sensors. Sensors, 22(20), 7913.

Chicago Style (17th ed.) Citation

Lopes, J. M., J. Figueiredo, P. Fonseca, J. J. Cerqueira, J. P. Vilas-Boas, and C. P. Santos. "Deep Learning-based Energy Expenditure Estimation in Assisted and Non-assisted Gait Using Inertial, EMG, and Heart Rate Wearable Sensors." Sensors 22, no. 20 (2022): 7913.

MLA (9th ed.) Citation

Lopes, J. M., et al. "Deep Learning-based Energy Expenditure Estimation in Assisted and Non-assisted Gait Using Inertial, EMG, and Heart Rate Wearable Sensors." Sensors, vol. 22, no. 20, 2022, p. 7913.